Recommendation method and device of insurance service optimization scheme, equipment and storage medium

Abstract

The invention relates to the field of financial science and technology, and discloses an insurance service optimization scheme recommendation method and device, equipment and a storage medium, and the method comprises the steps: obtaining a to-be-analyzed target insurance service, and determining a business node corresponding to the target insurance service according to the target insurance service; obtaining a service influence factor corresponding to the service node; obtaining a node optimization model matched with the service node according to the service influence factor; after node early warning information output by the service node is received, determining a target node optimization model; outputting a first optimization scheme of the target service node based on the target node optimization model and the node early warning information, and obtaining a second optimization scheme of the target service node from the network based on the node early warning information; and determining a target optimization scheme corresponding to the target service node based on the first optimization scheme and the second optimization scheme. The insurance service optimization scheme obtained by the invention is high in effectiveness, reliability and pertinence, and the product competitiveness can be improved.

Description

Technical Field

[0001] The present application relates to the field of financial technology, and in particular to a method, device, equipment and storage medium for recommending an insurance service optimization solution. Background Art

[0002] With the platform-based management of insurance claims, the current operation mode is mainly based on the report extraction of historical business data and manual data analysis. For the visualization of operation results, data is usually manually screened and marked through the extracted reports, and then manually drawn into charts for display.

[0003] This operation mode has the following disadvantages: extracting reports based on historical business data, manually performing data analysis, having fewer data query dimensions, and low query efficiency; data risk monitoring is not timely, and abnormal data risks cannot be discovered in the first place, which is not conducive to the optimization of insurance products and ultimately leads to insufficient product competitiveness. Therefore, it is crucial to provide an effective optimization solution to improve product competitiveness. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to provide a method, device, equipment and storage medium for recommending an insurance service optimization solution, aiming to provide an effective insurance service optimization solution to improve product competitiveness.

[0005] In a first aspect, an embodiment of the present application provides a method for recommending an insurance service optimization solution, the method comprising:

[0006] Acquire a target insurance service to be analyzed, and determine a business node corresponding to the target insurance service according to the target insurance service;

[0007] Acquire a service impact factor corresponding to the service node, where the service impact factor is used to describe impact information affecting the service corresponding to the service node;

[0008] Acquire a node optimization model matching the service node according to the service impact factor, wherein the node optimization model is used to output a node optimization solution for optimizing the service node;

[0009] After receiving the node warning information output by the service node, determining the target service node where the abnormality occurs from the service nodes according to the node warning information, determining the target service impact factor from the service impact factors matched by the target service node, and determining the target node optimization model from the node optimization model according to the target service impact factor;

[0010] Outputting a first optimization solution for the target service node based on the target node optimization model and the node warning information, and acquiring a second optimization solution for the target service node from the network based on the node warning information;

[0011] A target optimization scheme corresponding to the target service node is determined based on the first optimization scheme and the second optimization scheme.

[0012] In a second aspect, the present application provides a device for recommending an insurance service optimization solution, including:

[0013] A node determination module, used to obtain a target insurance service to be analyzed, and determine a business node corresponding to the target insurance service according to the target insurance service;

[0014] A service factor module, used to obtain a service impact factor corresponding to the service node, wherein the service impact factor is used to describe impact information affecting the service corresponding to the service node;

[0015] A node model module, used for acquiring a node optimization model matching the service node according to the service impact factor, wherein the node optimization model is used for outputting a node optimization solution for optimizing the service node;

[0016] An information warning module is used to, after receiving the node warning information output by the service node, determine the target service node where the abnormality occurs from the service nodes according to the node warning information, determine the target service impact factor from the service impact factors matched by the target service node, and determine the target node optimization model from the node optimization model according to the target service impact factor;

[0017] A solution acquisition module, configured to output a first optimization solution for the target service node based on the target node optimization model and the node warning information, and to acquire a second optimization solution for the target service node from a network based on the node warning information;

[0018] A solution determination module is used to determine a target optimization solution corresponding to the target service node based on the first optimization solution and the second optimization solution.

[0019] In a third aspect, the present application provides a computer device, the computer device comprising a processor and a memory;

[0020] The memory is used to store computer programs;

[0021] The processor is used to execute the computer program and implement the aforementioned recommendation method for the insurance service optimization solution when executing the computer program.

[0022] In a fourth aspect, an embodiment of the present application further provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the aforementioned method for recommending an insurance service optimization solution.

[0023] The embodiments of the present application provide a method, apparatus, device and storage medium for recommending an insurance service optimization solution, wherein the method for recommending an insurance service optimization solution obtains a target insurance service to be analyzed, and determines a business node corresponding to the target insurance service based on the target insurance service; obtains a business impact factor corresponding to the business node, the business impact factor is used to describe the impact information that affects the business corresponding to the business node; obtains a node optimization model that matches the business node based on the business impact factor, the node optimization model is used to output a node optimization solution for optimizing the business node; after receiving node warning information output by the business node, determines an abnormal target business node from the business node based on the node warning information, determines the target business impact factor from the business impact factors matched by the target business node, and determines the target node optimization model from the node optimization model based on the target business impact factor; outputs a first optimization solution for the target business node based on the target node optimization model and the node warning information, and obtains a second optimization solution for the target business node from the network based on the node warning information; determines a target optimization solution corresponding to the target business node based on the first optimization solution and the second optimization solution.

[0024] In the present application, by dividing the insurance service into multiple business nodes and setting corresponding node optimization models for the business nodes, when an abnormality occurs in the corresponding business node, the node optimization model outputs a corresponding first optimization plan for the abnormal node, and outputs a corresponding second optimization plan based on the early warning information corresponding to the abnormal node. The two optimization plans are integrated to obtain the final target node optimization plan, so that the target node optimization plan finally obtained has stronger pertinence. When the abnormal target business node is optimized according to the target node optimization plan, the node optimization effect is better, which can effectively enhance the business competitiveness of the insurance service. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 A schematic diagram of the steps of a method for recommending an insurance service optimization solution provided in an embodiment of the present application;

[0027] Figures 2 to 4 A schematic diagram of the association between project nodes and influencing factors corresponding to different insurance service projects provided in the embodiment of the present application;

[0028] Figure 5 A schematic diagram of the module structure of a device for recommending an insurance service optimization solution provided in an embodiment of the present application;

[0029] Figure 6 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0032] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0033] With the platform-based management of insurance claims, the current operation mode is mainly based on the report extraction of historical business data and manual data analysis. For the visualization of operation results, data is usually manually screened and marked through the extracted reports, and then manually drawn into charts for display.

[0034] This operation mode has the following disadvantages: extracting reports based on historical business data, manually performing data analysis, having fewer data query dimensions, and low query efficiency; data risk monitoring is not timely, and abnormal data risks cannot be discovered in the first place, which is not conducive to the optimization of insurance products and ultimately leads to insufficient product competitiveness. Therefore, it is crucial to provide an effective optimization solution to improve product competitiveness.

[0035] Based on this, the present application provides a method, device, equipment and storage medium for recommending an insurance service optimization solution. The method for recommending an insurance service optimization solution can be executed by a computer device, which can be a terminal device or a server; the terminal device here can include but is not limited to: computers, smart phones, tablets, laptops, intelligent voice interaction devices, smart home appliances, vehicle terminals, smart wearable devices, etc.; the server here can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0036] Some embodiments of the present application are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0037] Please refer to Figure 1 , Figure 1 A flowchart of the steps of a method for recommending an insurance service optimization solution provided in an embodiment of the present application.

[0038] The implementation manner of the present application is described by taking the application of the recommendation method of the insurance service optimization solution to a terminal device as an example, but is not limited to the application of the recommendation method of the insurance service optimization solution to only a terminal device.

[0039] like Figure 1 As shown, the recommendation method of the insurance service optimization solution includes steps S101 to S105.

[0040] Step S101: Acquire a target insurance service to be analyzed, and determine a business node corresponding to the target insurance service according to the target insurance service.

[0041] Exemplarily, the user sends the insurance service information to be analyzed to the terminal device through an input device that is communicatively connected to the terminal device, and the terminal device receives and parses the insurance service information to obtain the target insurance service to be analyzed.

[0042] Because different insurance service items correspond to different business nodes, a first association relationship between insurance service items and business nodes is stored in the terminal device. After determining the target insurance service item, the business node corresponding to the target insurance service item can be determined based on the target insurance service item and the first association relationship.

[0043] See also Figures 2 to 4For example, insurance service project A corresponds to 6 business nodes, namely business node A1, business node A2, business node A3, business node A4, business node A5 and business node A6. Insurance service project B corresponds to 5 business nodes, namely business node B1, business node B2, business node B3, business node B4 and business node B5. Insurance service project C corresponds to 6 business nodes, namely business node C1, business node C2, business node C3, business node C4, business node C5 and business node C6. Among them, the service content and influencing factors of each business node are different, and the service content of each business node may affect the overall competitiveness of the insurance service project A. In the traditional processing mode, each business node is set up with its own business person in charge to make overall control of the service content of the business node. However, manual control of each node may result in node abnormality omissions or untimely processing.

[0044] In this implementation, when the corresponding insurance service item is determined to be insurance service item A based on the received insurance service information, it is determined that insurance service item A has 6 business nodes, namely business node A1, business node A2, business node A3, business node A4, business node A5 and business node A6.

[0045] Step S102: Acquire a service impact factor corresponding to the service node, where the service impact factor is used to describe impact information affecting the service corresponding to the service node.

[0046] Exemplarily, the method of obtaining the business impact factor corresponding to the business node includes but is not limited to: the terminal device also stores a second association relationship between the business impact factor of each business node and the business content corresponding to the business node, and the business impact factor of the business node can be obtained through the second association relationship and the business node.

[0047] Alternatively, since the business content of each business node is affected by the external environment, the business impact factor may be variable. Therefore, the business impact factor of the corresponding business node can be manually determined to improve the accuracy of the business impact factor affecting the service content corresponding to each business node.

[0048] In some implementations, obtaining the service impact factor corresponding to the service node includes:

[0049] A node service description corresponding to the service node is obtained, and node key information of the node service description is extracted; and a service impact factor corresponding to the service node is determined according to the node key information.

[0050] Exemplarily, the node service description may be generated by the user selecting the corresponding node service description in the display interface of the terminal device through an input device, and / or, the node service description may be generated by the user inputting the corresponding node service description information into the terminal device through an input device.

[0051] For example, the business node A1 of insurance service project A is whether the APP program interface design of the insurance service project meets the corresponding user needs, and the corresponding business impact factors include but are not limited to whether the interface is simple, whether the interface operation is convenient, whether the interface focus is prominent, etc. However, when the user group age group of insurance service project A is concentrated in the population over 50 years old, the impact factor of this business node also needs to consider whether the interface text size is reasonable.

[0052] Business node A2 of insurance service project A is whether the fee setting of the insurance service project is reasonable. The purchasing power of currency of the same denomination changes over time, so the fee setting should follow the changes, otherwise operating losses may occur and the insurance service project may be unable to operate.

[0053] Business node A3 of insurance service project A is whether the delivery area of ​​insurance service project A is reasonable. Insurance service project A has different concentrated populations in different areas. Different insurance service projects are delivered in a targeted manner according to different areas, which can effectively improve the service effect of the insurance service project.

[0054] The business node A4 of the insurance service project A is whether the delivery strategy of the agent of the insurance service project A is reasonable.

[0055] Business node A5 of insurance service project A is whether the claim settlement strategy of insurance service project A is reasonable.

[0056] The business node A6 of the insurance service project A is whether the after-sales strategy of the insurance service project A is reasonable.

[0057] In summary, different business nodes correspond to different business terminals. Therefore, the corresponding business personnel can comprehensively consider the node business description of the corresponding business node, and input the business description information of the corresponding business node to the terminal device by operating the input device, or select the business description option of the corresponding business node in the preset display interface of the terminal device, so that the terminal device can obtain the node business description corresponding to the business node, and thus extract the node key information of the node business description, so as to determine the business impact factor corresponding to the business node according to the node key information, so that the current business impact factor of the business node has higher accuracy.

[0058] In some implementations, the acquiring the node service description corresponding to the service node includes:

[0059] Acquire first description information input by a user through an input device, and extract a first business description corresponding to the business node according to the first description information; extract a second business description of the business node based on historical business data; and determine a node business description corresponding to the business node according to the first business description and the second business description.

[0060] Optionally, the acquiring the node service description corresponding to the service node includes: acquiring first description information input by a user through an input device, and extracting the node service description corresponding to the service node according to the first description information.

[0061] Exemplarily, the node business description can also be a second business description of the corresponding business node extracted based on historical business data, and combined with the first business description of the corresponding business node that business personnel can comprehensively consider, the first business description and the second business description are combined as the node business description of the current business node, thereby making the business description of the current business node more comprehensive and comprehensive.

[0062] Step S103: acquiring a node optimization model matching the service node according to the service impact factor, wherein the node optimization model is used to output a node optimization solution for optimizing the service node.

[0063] Exemplarily, the terminal device also stores a third association relationship between the business impact factor and the node optimization model, which is used to output a node optimization plan for optimizing the corresponding business node according to the business impact factor. After obtaining the business impact factor, the node optimization model is obtained based on the business impact factor and the third association relationship.

[0064] For example, business impact factor A1, business impact factor A2, and business impact factor A3 correspond to node optimization model A. Business impact factor B1, business impact factor B2, and business impact factor B3 correspond to node optimization model B. When it is determined that the business impact factor includes at least one of business impact factor A1, business impact factor A2, and business impact factor A3, node optimization model A is selected as the target node optimization model for outputting a node optimization solution for optimizing the business node. When it is determined that the business impact factor includes at least one of business impact factor B1, business impact factor B2, and business impact factor B3, node optimization model B is selected as the target node optimization model for outputting a node optimization solution for optimizing the business node.

[0065] Step S104: After receiving the node warning information output by the business node, determine the target business node where the abnormality occurs from the business nodes according to the node warning information, determine the target business impact factor from the business impact factors matched by the target business node, and determine the target node optimization model from the node optimization model according to the target business impact factor.

[0066] Exemplarily, different business nodes correspond to different node names or codes, that is, the node name or code is equivalent to the identity document of the business node and is unique. The terminal device is provided with an abnormal monitoring program or an abnormal warning program for monitoring each business node. By obtaining the business data corresponding to each business node and analyzing the business data using the abnormal monitoring program or the abnormal warning program, it is determined whether the corresponding business node has an abnormality and outputs the corresponding abnormality type.

[0067] When an abnormality occurs in a corresponding service node, the terminal device will receive node warning information indicating an abnormality in the corresponding service node, and the node warning information includes at least information such as the node name or code, node abnormality information, etc. After receiving the node warning information output by the corresponding service node, the terminal device determines the target service node with an abnormality from each service node according to the node name or code in the node warning information, and determines the target service impact factor from the service impact factors matched by the target service node according to the node abnormality information, so that the target node optimization model can be determined from the node optimization model according to the target service impact factor.

[0068] For example, the terminal device learns through analysis that the business node A1 of insurance service project A has a complex design of the APP program interface of the insurance service project, which makes user operations cumbersome, reduces user experience, and causes user loss. The terminal device then outputs node warning information, which includes at least the business impact factor corresponding to the complex design of the APP program interface of the insurance service project corresponding to the business node A1 of insurance service project A.

[0069] Step S105: outputting a first optimization solution for the target service node based on the target node optimization model and the node warning information, and acquiring a second optimization solution for the target service node from the network based on the node warning information.

[0070] Optionally, outputting the first optimization scheme of the target service node based on the target node optimization model and the node warning information includes obtaining node warning key information from the node warning information based on an information extraction template, and inputting the warning key information as model input information into the target node optimization model to obtain model output information, and the model output information is the first optimization scheme. Alternatively, the terminal device stores a third association relationship between the model output information and the first optimization scheme, and after obtaining the model output information, the first optimization scheme is obtained based on the model output information and the third association relationship.

[0071] Optionally, outputting the first optimization scheme of the target service node based on the target node optimization model and the node warning information includes inputting the node warning information as model input information into the target node optimization model to obtain model output information, where the model output information is the first optimization scheme. Alternatively, the terminal device stores a third association relationship between the model output information and the first optimization scheme, and after obtaining the model output information, the first optimization scheme is obtained based on the model output information and the third association relationship.

[0072] Optionally, obtaining the second optimization plan for the target business node from the network based on the node warning information includes: obtaining the object business plan of the target object from the network based on the node warning information, and determining the second optimization plan for the target business node based on the object business plan.

[0073] Exemplarily, the node warning information is associated with preset search keywords, and the target object is a preset object, which can be set and changed as needed. For example, the target object is an insurance service project X that ranks top in the industry. Based on the search keywords corresponding to the node warning information, the network is searched for matching business information in insurance service project X that matches the target business node, and a business optimization plan for insurance service project X is extracted from the matching business information, and the business optimization plan is used as the second optimization plan.

[0074] For example, according to the node warning information, it is determined that the business impact factor of the business node A1 of the insurance service project A is "the APP program interface design of the insurance service project is complex, making the user operation cumbersome."

[0075] The terminal device setting can search for the APP program interface design of the top insurance service project X in the industry through search keywords such as "interface design of insurance service project X". The APP program interface design includes but is not limited to interface layout, interface function, interface function guidance, etc. By referring to the APP program interface design of the insurance service project X, the second optimization scheme that can be used to optimize the target business node is output.

[0076] Step S106: Determine a target optimization solution corresponding to the target service node based on the first optimization solution and the second optimization solution.

[0077] Exemplarily, after obtaining the first optimization scheme and the second optimization scheme, the first optimization scheme and the second optimization scheme are sorted out to obtain a target optimization scheme corresponding to the target business node. Based on the target optimization scheme, optimization schemes that can be used to optimize the target business node are comprehensively sorted out from at least two perspectives, thereby optimizing the obtained target optimization scheme for the target business node. The feasibility probability of optimization.

[0078] In some implementations, after step S106, the method further includes:

[0079] The target optimization solution is pushed to the target terminal, so that the preset display interface of the target terminal displays the target optimization solution according to the login object of the target terminal using a display strategy adapted to the login object.

[0080] Exemplarily, the terminal device sets the terminal ID corresponding to the target terminal of the received target optimization solution, and after obtaining the target optimization solution, pushes the target optimization solution to the corresponding target terminal, so that the preset display interface of the target terminal uses a display strategy adapted to the login object according to the login object of the target terminal to display the target optimization solution. For example, the authority level of login object A is level A, and the corresponding display strategy of the target optimization solution is display strategy A. After login object A logs in to the target terminal, the target optimization solution is displayed through display strategy A. Similarly, the authority level of login object B is level B, and the corresponding display strategy of the target optimization solution is display strategy B. After login object B logs in to the target terminal, the target optimization solution is displayed through display strategy B.

[0081] Optionally, the target optimization solution is displayed according to the login object of the target terminal using a display strategy adapted to the login object, including: the display strategy of the target optimization solution is determined based on the identity information of the login object of the target terminal, and different display strategies have different display emphases on the same target optimization solution; and the target optimization solution is displayed on the target terminal according to the display strategy.

[0082] Optionally, the different display strategies have different display emphases for the same target optimization plan, including: the different display strategies have different display orders for the same information in the same target optimization plan; or, the different display strategies have different display effects for the same information in the same target optimization plan; or, the different display strategies have different display areas for the same information in the same target optimization plan.

[0083] See also Figure 5 , Figure 5 A schematic diagram of the module structure of a recommendation device for an insurance service optimization solution provided in this application.

[0084] like Figure 5 As shown, the device 200 for recommending an insurance service optimization solution includes a node determination module 201, a business factor module 202, a node model module 203, an information warning module 204, a solution acquisition module 205, and a solution determination module 206. The node determination module 201 is used to obtain the target insurance service to be analyzed, and determine the business node corresponding to the target insurance service according to the target insurance service. The business factor module 202 is used to obtain the business impact factor corresponding to the business node, and the business impact factor is used to describe the impact information affecting the business corresponding to the business node. The node model module 203 is used to obtain a node optimization model matching the business node according to the business impact factor, and the node optimization model is used to output a node optimization solution for optimizing the business node. The information warning module 204 is used to determine the target business node with an abnormality from the business node according to the node warning information after receiving the node warning information output by the business node, and determine the target business impact factor from the business impact factor matching the target business node, and determine the target node optimization model from the node optimization model according to the target business impact factor. The solution acquisition module 205 is used to output the first optimization solution of the target service node based on the target node optimization model and the node warning information, and to obtain the second optimization solution of the target service node from the network based on the node warning information. The solution determination module 206 is used to determine the target optimization solution corresponding to the target service node based on the first optimization solution and the second optimization solution.

[0085] In some implementations, obtaining the service impact factor corresponding to the service node includes:

[0086] A node service description corresponding to the service node is obtained, and node key information of the node service description is extracted; and a service impact factor corresponding to the service node is determined according to the node key information.

[0087] In some implementations, the acquiring the node service description corresponding to the service node includes:

[0088] Acquire first description information input by a user through an input device, and extract a first service description corresponding to the service node according to the first description information;

[0089] Extracting a second service description of the service node based on historical service data;

[0090] A node service description corresponding to the service node is determined according to the first service description and the second service description.

[0091] In some implementations, the acquiring a second optimization solution for the target service node from the network based on the node warning information includes:

[0092] An object service plan of a target object is acquired from a network based on the node early warning information, and a second optimization plan of the target service node is determined based on the object service plan.

[0093] In some embodiments, the insurance service optimization plan recommendation device 200 also includes a plan push module, which is used to push the target optimization plan to the target terminal so that the preset display interface of the target terminal displays the target optimization plan according to the login object of the target terminal using a display strategy adapted to the login object.

[0094] In some implementations, displaying the target optimization solution according to the login object of the target terminal using a display strategy adapted to the login object includes:

[0095] The identity information of the login object of the target terminal determines the display strategy of the target optimization solution, and different display strategies have different display focuses on the same target optimization solution;

[0096] The target optimization solution is displayed on the target terminal according to the display strategy.

[0097] In some implementations, the different display strategies have different display focuses on the same target optimization solution, including:

[0098] The different display strategies have different display orders for the same information in the same target optimization solution;

[0099] Alternatively, the different display strategies have different display effects on the same information in the same target optimization solution;

[0100] Alternatively, the different display strategies have different display areas for the same information in the same target optimization solution.

[0101] It can be understood that the insurance service optimization solution recommendation device 200 can be applied to a computer device and used to execute the steps of the insurance service optimization solution recommendation method provided in any embodiment of the present application.

[0102] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and simplicity of description, the specific working process of the recommendation device 200 of the insurance service optimization solution described above can refer to the corresponding process in the aforementioned insurance service optimization solution recommendation method embodiment, and will not be repeated here.

[0103] See also Figure 6 , Figure 6 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application.

[0104] like Figure 6 As shown, the computer device 10 includes a processor 11 and a memory 12, and the processor 11 and the memory 12 are connected via a bus 13, such as an I2C (Inter-integrated Circuit) bus.

[0105] Specifically, the processor 11 is used to provide computing and control capabilities to support the operation of the entire computer device 10. The processor 11 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0106] Specifically, the memory 12 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0107] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a partial structure related to the embodiment of the present application, and does not constitute a limitation on the computer device to which the embodiment of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0108] Among them, the processor 11 is used to run the computer program stored in the memory, and implement the recommendation method of any insurance service optimization solution provided in the embodiment of the present application when executing the computer program.

[0109] In some embodiments, the processor 11 is used to run a computer program stored in the memory, and implements the following steps when executing the computer program:

[0110] Acquire a target insurance service to be analyzed, and determine a business node corresponding to the target insurance service according to the target insurance service;

[0111] Acquire a service impact factor corresponding to the service node, where the service impact factor is used to describe impact information affecting the service corresponding to the service node;

[0112] Acquire a node optimization model matching the service node according to the service impact factor, wherein the node optimization model is used to output a node optimization solution for optimizing the service node;

[0113] After receiving the node warning information output by the service node, determining the target service node where the abnormality occurs from the service nodes according to the node warning information, determining the target service impact factor from the service impact factors matched by the target service node, and determining the target node optimization model from the node optimization model according to the target service impact factor;

[0114] Outputting a first optimization solution for the target service node based on the target node optimization model and the node warning information, and acquiring a second optimization solution for the target service node from the network based on the node warning information;

[0115] A target optimization scheme corresponding to the target service node is determined based on the first optimization scheme and the second optimization scheme.

[0116] In some implementations, obtaining the service impact factor corresponding to the service node includes:

[0117] A node service description corresponding to the service node is obtained, and node key information of the node service description is extracted; and a service impact factor corresponding to the service node is determined according to the node key information.

[0118] In some implementations, the acquiring the node service description corresponding to the service node includes:

[0119] Acquire first description information input by a user through an input device, and extract a first service description corresponding to the service node according to the first description information;

[0120] Extracting a second service description of the service node based on historical service data;

[0121] A node service description corresponding to the service node is determined according to the first service description and the second service description.

[0122] In some implementations, the acquiring a second optimization solution for the target service node from the network based on the node warning information includes:

[0123] An object service plan of a target object is acquired from a network based on the node early warning information, and a second optimization plan of the target service node is determined based on the object service plan.

[0124] In some implementations, the processor 11 is further configured to:

[0125] The target optimization solution is pushed to the target terminal, so that the preset display interface of the target terminal displays the target optimization solution according to the login object of the target terminal using a display strategy adapted to the login object.

[0126] In some implementations, displaying the target optimization solution according to the login object of the target terminal using a display strategy adapted to the login object includes:

[0127] The identity information of the login object of the target terminal determines the display strategy of the target optimization solution, and different display strategies have different display focuses on the same target optimization solution;

[0128] The target optimization solution is displayed on the target terminal according to the display strategy.

[0129] In some implementations, the different display strategies have different display focuses on the same target optimization solution, including:

[0130] The different display strategies have different display orders for the same information in the same target optimization solution;

[0131] Alternatively, the different display strategies have different display effects on the same information in the same target optimization solution;

[0132] Alternatively, the different display strategies have different display areas for the same information in the same target optimization solution.

[0133] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and brevity of description, the specific working process of the computer device described above can refer to the corresponding process in the recommended method embodiment of the aforementioned insurance service optimization solution, and will not be repeated here.

[0134] An embodiment of the present application also provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of a method for recommending an insurance service optimization solution as provided in any embodiment of the present application specification.

[0135] The storage medium may be an internal storage unit of the computer device of the aforementioned embodiment, such as a hard disk or memory of the computer device. The storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device.

[0136] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware embodiment, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0137] It should be understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0138] The serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments. The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for recommending an insurance service optimization solution, characterized in that: The method comprises: Acquire a target insurance service to be analyzed, and determine a business node corresponding to the target insurance service according to the target insurance service; Acquire a service impact factor corresponding to the service node, where the service impact factor is used to describe impact information affecting the service corresponding to the service node; Acquire a node optimization model matching the service node according to the service impact factor, wherein the node optimization model is used to output a node optimization solution for optimizing the service node; After receiving the node warning information output by the service node, determining the target service node where the abnormality occurs from the service nodes according to the node warning information, determining the target service impact factor from the service impact factors matched by the target service node, and determining the target node optimization model from the node optimization model according to the target service impact factor; Outputting a first optimization solution for the target service node based on the target node optimization model and the node warning information, and acquiring a second optimization solution for the target service node from the network based on the node warning information; A target optimization scheme corresponding to the target service node is determined based on the first optimization scheme and the second optimization scheme.

2. The method according to claim 1, characterized in that The obtaining of the service impact factor corresponding to the service node includes: A node service description corresponding to the service node is obtained, and node key information of the node service description is extracted; and a service impact factor corresponding to the service node is determined according to the node key information.

3. The method according to claim 2, characterized in that The obtaining of the node service description corresponding to the service node includes: Acquire first description information input by a user through an input device, and extract a first service description corresponding to the service node according to the first description information; Extracting a second service description of the service node based on historical service data; A node service description corresponding to the service node is determined according to the first service description and the second service description.

4. The method according to claim 1, characterized in that The second optimization scheme for acquiring the target service node from the network based on the node early warning information includes: An object service plan of a target object is acquired from a network based on the node early warning information, and a second optimization plan of the target service node is determined based on the object service plan.

5. The method according to claim 1, characterized in that The method further comprises: The target optimization solution is pushed to the target terminal, so that the preset display interface of the target terminal displays the target optimization solution according to the login object of the target terminal using a display strategy adapted to the login object.

6. The method according to claim 5, characterized in that The displaying of the target optimization solution according to the login object of the target terminal using a display strategy adapted to the login object includes: The identity information of the login object of the target terminal determines the display strategy of the target optimization solution, and different display strategies have different display focuses on the same target optimization solution; The target optimization solution is displayed on the target terminal according to the display strategy.

7. The method according to claim 6, characterized in that The different display strategies have different display focuses on the same target optimization solution, including: The different display strategies have different display orders for the same information in the same target optimization solution; Alternatively, the different display strategies have different display effects on the same information in the same target optimization solution; Alternatively, the different display strategies have different display areas for the same information in the same target optimization solution.

8. A device for recommending an insurance service optimization solution, characterized in that: include: A node determination module, used to obtain a target insurance service to be analyzed, and determine a business node corresponding to the target insurance service according to the target insurance service; A service factor module, used to obtain a service impact factor corresponding to the service node, wherein the service impact factor is used to describe impact information affecting the service corresponding to the service node; A node model module, used for acquiring a node optimization model matching the service node according to the service impact factor, wherein the node optimization model is used for outputting a node optimization solution for optimizing the service node; An information warning module is used to, after receiving the node warning information output by the service node, determine the target service node where the abnormality occurs from the service nodes according to the node warning information, determine the target service impact factor from the service impact factors matched by the target service node, and determine the target node optimization model from the node optimization model according to the target service impact factor; A solution acquisition module, configured to output a first optimization solution for the target service node based on the target node optimization model and the node warning information, and to acquire a second optimization solution for the target service node from a network based on the node warning information; A solution determination module is used to determine a target optimization solution corresponding to the target service node based on the first optimization solution and the second optimization solution.

9. A computer device, characterized in that: The computer device includes a processor and a memory; The memory is used to store computer programs; The processor is used to execute the computer program and implement the recommendation method of the insurance service optimization solution as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: When the computer-readable storage medium is executed by one or more processors, the one or more processors execute the steps of the method for recommending an insurance service optimization solution as described in any one of claims 1 to 7.

Images